Recognized Ontario AI Master’s Programs
There are currently over 25 master’s programs in Ontario recognized by the Vector Institute. These include new and expanded programs in core-technical and complementary areas such as business and health. Vector-affiliated students and alumni enjoy access to career development, networking events and resources.
Benefits & Resources:
Vector Recognized AI Master’s Programs
University of Guelph
Rotman School of Management – University of Toronto
University of Toronto
Smith School of Business – Queen’s University
Ontario Tech University
University of Waterloo
University of Ottawa
Schulich School of Business
Toronto Metropolitan University
University of Windsor
Master of Science/Master of Applied Science (collaborative specialization in AI)
The University of Guelph’s Collaborative Specialization in Artificial Intelligence (AI) provides thesis-based master’s students in Computer Science, Engineering, Mathematics and Statistics, and Bioinformatics with a diverse and comprehensive knowledge base in AI.
By the end of this program, graduates will have comprehensive understanding of leading-edge AI techniques and will be able to apply this knowledge to solve real-world problems. Graduates will find employment opportunities in government and private industry, filling in-demand jobs such as machine learning research scientists, consultants, data scientists, and software engineers.
Master of Data Science
The University of Guelph’s Master of Data Science (MDS) is a one-year, course-based program that runs September to August. The MDS program trains individuals to become computationally-skilled and ethically-minded data analysts with strong communications skills.
Students will be expected to design, implement, visualize and present their data analyses—which address complex problems relevant to industry partners—to a diverse audience. Finally, the hands-on delivery format and built-in experiential learning opportunities will foster the development of soft skills, such as communication and problem solving, that are critical for graduates to successfully transition into the workforce.
Master of Science (Computer Science – AI)
The Department of Computer Science is offering a two-year, thesis-based Master of Science in Computer Science (MSc) program with a specialization in Artificial Intelligence (AI).Students will develop the skills and knowledge to conduct research in the field of Computer Science with a focus on core AI techniques. Upon completion, students will be able to apply and select appropriate AI algorithms and techniques in a variety of industrial sectors and further advance the AI related research. Topics will include natural language processing, deep learning, machine learning, image processing, pattern recognition and other emerging technologies. Finally, students will develop research and application based ethical awareness.
Master of Management Analytics
The Rotman Master of Management Analytics (MMA) is a nine-month, full-time program running from August to April. The program is focused on teaching the applications of advanced analytics, AI, and machine learning to provide data-driven insights on complex managerial problems.
Master of Health Informatics
The Master of Health Informatics (MHI) is a professional program enabling graduates to harness the potential of data and knowledge for the better management of health and care. Set within University of Toronto’s Dalla Lana School of Public Health, and the Institute of Health Policy, Management and Evaluation, MHI exists within a vibrant, interdisciplinary culture. Taught by health sector leaders, MHI focuses on upstream development of the healthcare complement in areas of policy, management and evaluation to prepare students to lead AI-based change.
Master of Science in Health Policy, Management and Evaluation, Emphasis in Health Systems AI
Program description coming soon
Master of Management in Artificial Intelligence
Harnessing AI’s potential for competitive performance requires a new type of professional: one who not only understands the capacity of the science but has the expertise to apply it to organizational needs and strategies, and who can navigate the ethical, economic and societal implications. The Master of Management in Artificial Intelligence will provide:
- A strong understanding of the technical principles of AI and modern methods for data search and retrieval, and how to practically apply them to real world problems
- Command of best practices in identifying opportunities for and applying AI;
- Expertise in the business practices required to effectively use AI and machine learning;
- Awareness and engagement in the ethical, economic, and societal impacts of computers exhibiting intelligent behavior;
- Enhancement of skills for communicating complex problems and AI solutions to wide audiences in an organization; and
- Training in creating and maintaining high performance work teams.
Master of Financial Innovation & Technology
The Master of Financial Innovation & Technology provides a solution to the fast-growing need in the financial sector for leaders with a solid understanding of finance, data science and machine learning. The program will equip students with a unique combination of skills consisting of a deep understanding of financial models, data and technology. Take this 14-month program while working, with evening and weekend classes based at Smith Toronto, a dedicated learning facility in downtown Toronto.
Master of Science (Computer Science, AI)
The Queen’s School of Computing offers a Field of Study in AI that prepares students for AI-related work in leading technology firms, healthcare companies, automobile manufacturers, and research labs.
Master of Applied Science (Electrical and Computer Engineering, Field of Study in AI
The Department of Electrical and Computer Engineering at Queen’s offers a unique Master of Applied Science program with a Field of Study in Artificial Intelligence (AI) that provides the graduate students with a solid foundation in the principles of AI, machine learning and deep learning. Graduates will be able to design and analyze AI-related algorithms and methodologies, employ modern scientific and engineering tools, and apply AI-based techniques to tackle complex research problems.
Master of IT Security (Artificial Intelligence Security)
Ontario Tech University offers a specialized field within its Master of IT Security program with a focus on Applications of Artificial Intelligence in IT Security (MITS-AIS).
Graduates of this program can seek employment in the growing artificial intelligence industry, public and private organizations, as well as IT security firms.
Master of Business Analytics and Artificial Intelligence
The Master of Business Analytics and AI (MBAI) prepares students for highly successful careers both in the private and public sector where data is used to make decisions. The MBAI is a market-driven degree in an in-demand field at the intersection of technology and business. As a student in this program, you will be equipped with the skills, knowledge and networks needed to succeed in today’s workplace as well as the ability to adapt to the ever-evolving workplace of the future. You will be able to develop your strengths in digital economy, data analytics and artificial intelligence, all while building community and expanding connections with reputable industry partners.
Master of Data Science and Artificial Intelligence
Students in the Master of Data Science and Artificial Intelligence at Waterloo receive an in-depth education in the theory and practice of machine learning and computational analysis of massive data sets plus industrial experience. Offered jointly by three departments (Computer Science, Statistics and Actuarial Science, and Combinatorics & Optimization), available courses cover robust and efficient storage systems of massive data, effective statistical data exploration, and algorithms for discovering hidden structures. The program typically requires three terms on campus (to complete nine courses) and one term in an industrial co-op placement, for a total of 16 months. Waterloo’s mature and extensive co-operative education system and industrial ties give students opportunities to work at top data science and AI companies in North America. Entering students should have a bachelor’s degree in computer science, statistics, data science, or a related mathematical field. Background courses are available during the first term for students missing an aspect of the prerequisites.
Master of Mathematics in Data Science
Students in the Master of Mathematics in Data Science program at Waterloo work at the forefront of modern research in topics related to data science, encompassing statistics, computer science, and optimization. Degree requirements include the completion of four graduate courses and the writing of a Master’s thesis under the supervision of a leading expert from one of three departments (Computer Science, Statistics and Actuarial Science, and Combinatorics & Optimization) that participate in the program. The program requires 4-6 terms, i.e., up to two calendar years. The course requirements include data exploration, distributed computing with data, machine learning and optimization, and a fourth elective course. Students in this program receive financial support composed of research and teaching assistantships and scholarships. Entering students should have a bachelor’s degree in computer science, statistics, data science, or a related mathematical field. Background courses (not counting toward the degree) are available for students missing an aspect of the prerequisites.
Master of Computer Science (Applied AI)
The applied artificial intelligence (AI) concentration within the existing Master of Computer Science program at uOttawa encompasses both the foundations and applications of machine learning. This unique program emphasizes the application of machine learning and AI to solve problems in areas such as health care, medicine, education, manufacturing and cyberspace.
Master of Applied Science (MASc) in Electrical and Computer Engineering and Master of Engineering (M.Eng) in Electrical and Computer Engineering — Applied Artificial Intelligence Concentration
The objective of this program is to graduate highly qualified electrical and computer engineers who not only are highly skilled in AI theory, but are also equipped with the desired skills to apply their knowledge across multiple domains. To this end, it covers both the fundamental knowledge in machine learning and its applications to the problems in electrical and computer engineering.
Master of Business Analytics
The Master of Business Analytics (MBAN) offered by the Schulich School of Business is a professional degree program designed to provide students with the breadth and depth of knowledge to be successful in a wide range of careers in areas such as banking, insurance, marketing, consulting, supply chain management, healthcare, and technology.
Master of Management in Artificial Intelligence (Schulich School of Business)
Artificial Intelligence (AI) is undergoing a landmark evolution, transforming the private and public sectors. As organizations adopt and invest in AI technology, a new style of management is needed – one that pairs a leader’s vision with a scientist’s mastery over a growing body of specialized knowledge. The 12-month Master of Management in Artificial Intelligence (MMAI) is designed to meet the growing need for talented professionals with the skills and advanced applied knowledge to develop, evaluate, refine and implement AI-related applications and technologies.
Master of Science (Computer Science, AI)
York University’s Master of Science in Computer Science program with specialization in AI has been strategically designed to provide its graduates with a solid grasp of the computational framework underlying AI methodologies with hands-on experience on how they are applied to diverse computing problems. The core coursework focuses on fundamentals of AI, machine learning theory, data mining, and ethics of AI. A broad range of elective courses that focus on applications of AI in areas such as computer vision, robotics, neural networks & deep learning, natural language processing and data mining & analytics provide students with the ability to tailor their education according to career goals.
Master of Engineering (Electrical, Computer and Biomedical Engineering, AI)
The Department of Electrical, Computer and Biomedical Engineering’s Master of Engineering (MEng) with an AI concentration will provide students at Toronto Metropolitan University with the essential training to be successful professionals in the field of AI. Students will be required to take four core courses: 1) Intelligent Systems, 2) Neural Networks, 3) Deep Learning, and 4) Advanced Data Engineering.
Master of Science in Data Science and Analytics
This unique one-year Master of Science (MSc) degree program enables students to develop interdisciplinary skills and gain a deep understanding of technical and applied knowledge in data science and analytics. Graduates are highly trained, qualified data scientists who can pursue careers in industry, government or research.
Master of Data Analytics (Artificial Intelligence)
Western’s Master of Data Analytics in Artificial Intelligence is a one-year professional science master’s program designed to produce technical data analytics professionals skilled in artificial intelligence, machine and deep learning, big data management and analysis infrastructure for unstructured data as well as other foundational areas of analytics, including visualization, databases, data carpentry and statistical modelling and inference, who are also effective communicators with complementary business skills and teamwork experience.
Master of Computer Science and Electrical and Computer Engineering (collaborative specialization artificial intelligence)
Western University’s departments of Computer Science (CS) and Electrical and Computer Engineering (ECE) are jointly offering a collaborative specialization artificial intelligence (CSAI) concentration in existing Master programs in CS and ECE (i.e., MSc, MESc and MEng). CSAI enhances the education and research of a graduate student by adding a module to their program of study.
Collaborative Specialization in Machine Learning in Health and Biomedical Sciences
This collaborative specialization is an interdisciplinary training program that equip students with the expertise to apply modern machine learning approaches to improve human health and well-being. Innovations in health and biomedical science are increasingly driven by large sets of genetic, physiological, imaging, and behavioral data, and the algorithms necessary to analyze them. The program is open to students in a number of graduate programs across the Faculties of Science, Health Sciences, Engineering, and the Schulich School of Dentistry and Medicine.
Master of Science in Computer Science- Artificial Intelligence [with/without Co-Operative Education]
The concentration in Artificial Intelligence is part of the thesis-based program of the Master of Science in Computer Science at the University of Windsor, and has a curriculum that includes a variety of AI and AI-related courses in specialized areas of computing technology, applications, and theory. The program introduces students to advanced topics in AI and AI-related subjects and applications, as well as to new AI technologies that are in high demand for computer professionals in the IT industry. T
The Vector Scholarship in Artificial Intelligence, together with internships and networking programs, are a core component of the Vector Institute’s RAISE initiative, supported by the Province of Ontario, to develop and connect Ontario’s AI workforce to fuel AI-based economic development and job creation.